Modelling and Forecasting Immunization against Measles Disease in Burundi Using Artificial Neural Networks (ANN)

In this research article, the ANN approach was applied to analyze child immunization rate against in Burundi. The employed annual data covers the period 1982-2019 and the out-of-sample period ranges over the period 2020-2030. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate that the model is stable. The ANN (12, 12, 1) model projections suggest that child immunization will generally be around 88% per annum over the next 10 years in Burundi. The government is encouraged to intensify child health surveillance and control programs in line with the suggested policy directions.